COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis.

Journal: JMIR public health and surveillance
PMID: 34479183

Abstract

BACKGROUND: The adoption of nonpharmaceutical interventions and their surveillance are critical for detecting and stopping possible transmission routes of COVID-19. A study of the effects of these interventions can help shape public health decisions. The efficacy of nonpharmaceutical interventions can be affected by public behaviors in events, such as protests. We examined mask use and mask fit in the United States, from social media images, especially during the Black Lives Matter (BLM) protests, representing the first large-scale public gatherings in the pandemic.

Authors

  • Asmit Kumar Singh
    Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Paras Mehan
    Indraprastha Institute of Information Technology Delhi, New Delhi, India.
  • Divyanshu Sharma
    Netaji Subhas University of Technology, New Delhi, India.
  • Rohan Pandey
    Shiv Nadar University, Noida, Uttar Pradesh, India.
  • Tavpritesh Sethi
    Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India. tavpriteshsethi@iiitd.ac.in.
  • Ponnurangam Kumaraguru
    Information Retrieval and Extraction Lab, Kohli Center for Intelligent Systems, International Institute of Information Technology Hyderabad, 500032, India. Electronic address: pk.guru@iiit.ac.in.

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